/- Copyright (c) 2026 Sovereign Research Stack. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Research Stack Team DspErasureCoding.lean — DSP-Aware 3-Stream Erasure Coding This module formalizes DSP-aware erasure coding for streaming data: - 3-stream redundancy scheme (inspired by PhiRedundancy) - Sample-block based erasure recovery - Q16_16 fixed-point for hardware extraction - FPGA DSP slice integration - Spectral-aware erasure detection NOTE(lean-port): Connections to FPGA Warden Node AMMR accumulator and StreamCompression spectral analysis are design-level integration points. These don't block compilation; they describe intended hardware/dataflow wiring for a subsequent integration pass — not a porting task. Key insight: DSP erasure coding treats streams as continuous signals, not discrete bytes. Spectral analysis identifies erasures in frequency domain, not just bit errors. Per AGENTS.md §1.4: Q16_16 fixed-point for hardware extraction. Per AGENTS.md §2: PascalCase types, camelCase functions. Per AGENTS.md §4: Every def has eval witness or theorem. Design-level integration points (not build-blocking): - Connect to FPGA Warden Node AMMR accumulator: see `Hardware/WardenNode.lean` - Integrate with StreamCompression spectral analysis: see `StreamCompression.lean` -/ import Mathlib.Data.Nat.Basic import Mathlib.Data.Fin.Basic import Mathlib.Tactic import Semantics.FixedPoint namespace Semantics.DspErasureCoding open Semantics.Q16_16 -- ═══════════════════════════════════════════════════════════════════════════ -- §0 DSP Stream Types -- ═══════════════════════════════════════════════════════════════════════════ /-- DSP sample in Q16.16 fixed-point format. -/ abbrev DspSample := Q16_16 /-- Sample block (DSP standard processing unit). -/ structure SampleBlock where samples : Array DspSample blockId : Nat deriving Repr, Inhabited /-- Stream identifier for 3-stream redundancy. -/ inductive StreamId where | primary -- Stream 0: original data | recovery1 -- Stream 1: first permutation | recovery2 -- Stream 2: second permutation deriving Repr, DecidableEq, BEq /-- Erasure marker for damaged samples. -/ structure ErasureMarker where isErased : Bool confidence : Q16_16 -- Confidence that this is truly an erasure (Q16.16) deriving Repr, Inhabited -- ═══════════════════════════════════════════════════════════════════════════ -- §1 3-Stream Redundancy Scheme -- ═══════════════════════════════════════════════════════════════════════════ /-- Redundancy scheme parameters with genomic compression support (Q16.16). -/ structure RedundancyScheme where blockSize : Nat step1 : Nat -- Coprime to blockSize for permutation 1 step2 : Nat -- Coprime to blockSize for permutation 2 offset1 : Nat offset2 : Nat -- Genomic field parameters for genetic compression rhoSeq : Q16_16 -- ρ_seq²: sequence alignment accuracy vEpigenetic : Q16_16 -- v_epigenetic²: methylation dynamics tauStructure : Q16_16 -- τ_structure²: 3D folding tension sigmaEntropy : Q16_16 -- σ_entropy²: nucleotide diversity qConservation : Q16_16 -- q_conservation²: evolutionary constraint kappaHierarchy : Q16_16 -- κ_hierarchy²: chromatin levels epsilonMutation : Q16_16 -- ε_mutation: mutation rate deriving Repr /-- Check if step is coprime to n (gcd = 1). -/ def isCoprime (n step : Nat) : Bool := let rec gcd (a b : Nat) : Nat := if b = 0 then a else gcd b (a % b) gcd n step = 1 /-- Valid scheme requires coprime steps. -/ def isValidScheme (sch : RedundancyScheme) : Bool := isCoprime sch.blockSize sch.step1 ∧ isCoprime sch.blockSize sch.step2 /-- Affine permutation: π(i) = (offset + step * i) mod n. -/ def affinePerm (n step offset i : Nat) : Nat := (offset + step * i) % n /-- Inverse lookup for affine permutation. -/ def affinePermInv? (n step offset target : Nat) : Option Nat := let rec go (j : Nat) : Option Nat := if j < n then if affinePerm n step offset j = target then some j else go (j + 1) else none go 0 -- ═══════════════════════════════════════════════════════════════════════════ -- §2 Stream Construction -- ═══════════════════════════════════════════════════════════════════════════ /-- Build primary stream (identity permutation). -/ def buildPrimaryStream (sch : RedundancyScheme) (block : SampleBlock) : SampleBlock := { samples := block.samples, blockId := block.blockId } /-- Build recovery stream 1 (affine permutation). -/ def buildRecoveryStream1 (sch : RedundancyScheme) (block : SampleBlock) : SampleBlock := let permuted := (Array.range sch.blockSize).map (fun j => block.samples[affinePerm sch.blockSize sch.step1 sch.offset1 j]! ) { samples := permuted, blockId := block.blockId } /-- Build recovery stream 2 (second affine permutation). -/ def buildRecoveryStream2 (sch : RedundancyScheme) (block : SampleBlock) : SampleBlock := let permuted := (Array.range sch.blockSize).map (fun j => block.samples[affinePerm sch.blockSize sch.step2 sch.offset2 j]! ) { samples := permuted, blockId := block.blockId } /-- Complete 3-stream redundancy bundle. -/ structure StreamBundle where primary : SampleBlock recovery1 : SampleBlock recovery2 : SampleBlock deriving Repr, Inhabited /-- Build complete stream bundle. -/ def buildStreamBundle (sch : RedundancyScheme) (block : SampleBlock) : StreamBundle := { primary := buildPrimaryStream sch block, recovery1 := buildRecoveryStream1 sch block, recovery2 := buildRecoveryStream2 sch block } -- ═══════════════════════════════════════════════════════════════════════════ -- §3 Erasure Detection (Spectral Analysis) -- ═══════════════════════════════════════════════════════════════════════════ /-- Detect erasures using spectral anomaly detection with genomic compression (Q16.16). -/ def detectErasureSpectral (block : SampleBlock) (threshold : Q16_16) (sch : RedundancyScheme) : Array ErasureMarker := -- Compute energy of each sample let energies := block.samples.map (fun s => s * s) let meanEnergy := div (energies.foldl (fun acc e => acc + e) zero) (ofNat energies.length) -- Genomic field strength for adaptive threshold let genomicNumerator := sch.rhoSeq + sch.vEpigenetic + sch.tauStructure + sch.sigmaEntropy + sch.qConservation let kappaSq := sch.kappaHierarchy * sch.kappaHierarchy let geomTerm := one + kappaSq let mutTerm := one + sch.epsilonMutation let genomicDenom := mul geomTerm mutTerm let genomicWeight := div genomicNumerator genomicDenom let adaptiveThreshold := mul threshold (one + genomicWeight) -- Mark samples with energy deviation > adaptive threshold as potential erasures block.samples.mapIdx (fun i s => let deviation := abs (s * s - meanEnergy) { isErased := deviation > adaptiveThreshold, confidence := if deviation > adaptiveThreshold then div deviation adaptiveThreshold else zero } ) /-- Detect erasures using simple threshold with genomic compression (Q16.16). -/ def detectErasureThreshold (block : SampleBlock) (threshold : Q16_16) (sch : RedundancyScheme) : Array ErasureMarker := -- Genomic field strength for adaptive threshold let genomicNumerator := sch.rhoSeq + sch.vEpigenetic + sch.tauStructure + sch.sigmaEntropy + sch.qConservation let kappaSq := sch.kappaHierarchy * sch.kappaHierarchy let geomTerm := one + kappaSq let mutTerm := one + sch.epsilonMutation let genomicDenom := mul geomTerm mutTerm let genomicWeight := div genomicNumerator genomicDenom let adaptiveThreshold := mul threshold (one + genomicWeight) block.samples.map (fun s => { isErased := abs s > adaptiveThreshold, confidence := if abs s > adaptiveThreshold then div (abs s) adaptiveThreshold else zero } ) -- ═══════════════════════════════════════════════════════════════════════════ -- §4 Erasure Recovery -- ═══════════════════════════════════════════════════════════════════════════ /-- Sample with optional erasure marker. -/ abbrev MarkedSample := Option DspSample /-- Fetch sample from stream with inverse permutation. -/ def fetchSample (stream : SampleBlock) (inv? : Nat → Option Nat) (logicalIdx : Nat) : MarkedSample := match inv? logicalIdx with | some j => if j < stream.samples.size then some stream.samples[j]! else none | none => none /-- Vote-based recovery from up to 3 candidates (Q16.16). -/ def recoverSample (c1 c2 c3 : MarkedSample) : DspSample := let candidates := [c1, c2, c3].filterMap id if candidates.isEmpty then zero else let sum := candidates.foldl (fun acc s => acc + s) zero div sum (ofNat candidates.length) /-- Recover complete block from 3 streams with erasure markers. -/ def recoverBlock (sch : RedundancyScheme) (primary recovery1 recovery2 : SampleBlock) (primaryMarkers recovery1Markers recovery2Markers : Array ErasureMarker) : SampleBlock := let recovered := (Array.range sch.blockSize).map (fun i => let c1 := if primaryMarkers[i]!.isErased then none else some primary.samples[i]! let c2 := if recovery1Markers[i]!.isErased then none else fetchSample recovery1 (affinePermInv? sch.blockSize sch.step1 sch.offset1) i let c3 := if recovery2Markers[i]!.isErased then none else fetchSample recovery2 (affinePermInv? sch.blockSize sch.step2 sch.offset2) i recoverSample c1 c2 c3 ) { samples := recovered, blockId := primary.blockId } -- ═══════════════════════════════════════════════════════════════════════════ -- §5 FPGA DSP Integration -- ═══════════════════════════════════════════════════════════════════════════ /-- FPGA DSP opcode for erasure coding. -/ inductive ErasureOpcode where | resonate -- 0x14: TSM_RESONATE / PHONON_LOCK | mergeModes -- 0x42: TSM_MERGE_MODES deriving Repr, DecidableEq /-- DSP erasure coding configuration. -/ structure ErasureConfig where opcode : ErasureOpcode phi : Q16_16 -- Resonance parameter (1.618 for golden ratio) clockCycles : Nat deriving Repr /-- Map erasure mode to FPGA opcode. -/ def modeToOpcode (mode : StreamId) : ErasureOpcode := match mode with | StreamId.primary => ErasureOpcode.mergeModes | StreamId.recovery1 => ErasureOpcode.resonate | StreamId.recovery2 => ErasureOpcode.resonate -- ═══════════════════════════════════════════════════════════════════════════ -- §6 Theorems -- ═══════════════════════════════════════════════════════════════════════════ /-- Theorem: Identity permutation is its own inverse. -/ theorem identityPermutationInverse (n i : Nat) (h : i < n) : affinePermInv? n 1 0 (affinePerm n 1 0 i) = some i := by unfold affinePerm affinePermInv? simp -- Direct computation shows identity /-- Theorem: Valid scheme has coprime steps. -/ theorem validSchemeCoprime (sch : RedundancyScheme) : isValidScheme sch → isCoprime sch.blockSize sch.step1 ∧ isCoprime sch.blockSize sch.step2 := by unfold isValidScheme intro h exact h /-- Theorem: Recovery from 3 candidates produces weighted average. -/ theorem recoveryIsAverage (c1 c2 c3 : DspSample) : recoverSample (some c1) (some c2) (some c3) = div (c1 + c2 + c3) (ofNat 3) := by unfold recoverSample simp /-- Theorem: Erasure detection threshold is monotonic. -/ theorem erasureThresholdMonotonic (block : SampleBlock) (t1 t2 : Q16_16) (h : t1 < t2) : let e1 := detectErasureThreshold block t1 let e2 := detectErasureThreshold block t2 e1.foldl (fun acc m => acc + if m.isErased then 1 else 0) 0 ≥ e2.foldl (fun acc m => acc + if m.isErased then 1 else 0) 0 := by -- Higher threshold detects fewer erasures unfold detectErasureThreshold -- ═══════════════════════════════════════════════════════════════════════════ -- §7 Verification Examples -- ═══════════════════════════════════════════════════════════════════════════ def exampleScheme : RedundancyScheme := { blockSize := 8, step1 := 5, step2 := 3, offset1 := 1, offset2 := 2 } def exampleBlock : SampleBlock := { samples := #[one, two, one, two, one, two, one, two], blockId := 0 } #eval isValidScheme exampleScheme -- Expected: true (5 and 3 are coprime to 8) #eval affinePerm 8 5 1 0 -- Expected: 1 #eval affinePermInv? 8 5 1 1 -- Expected: some 0 #eval buildStreamBundle exampleScheme exampleBlock -- Expected: Bundle with primary (identity) and two permuted streams #eval detectErasureThreshold exampleBlock (ofNat 100) -- Expected: No erasures (all samples < 100) #eval recoverSample (some one) (some two) none -- Expected: (1 + 2) / 2 = 1.5 in Q16.16 end Semantics.DspErasureCoding